Last updated 06-29-2026
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EyePop.ai
EyePop.ai is a computer vision platform that lets teams train custom vision models and deploy them for image and video analysis without hiring a machine learning team. Users define what to detect, upload training data, and run models in the cloud, on edge hardware, or fully on-premise.
The platform centers on composable Abilities: ready-made visual tasks like object detection, OCR, person tracking, and license plate reading that you can chain into pipelines. Self-Service Training walks you through defining a target, uploading images or video, auto-labeling, training, and deploying, often in hours rather than months.
Deployment options span cloud inference, on-premise runtimes, and edge devices including NVIDIA Jetson Orin and Qualcomm Snapdragon. Industries covered include surveillance, broadcast media, marketplaces, construction, insurance, drones, and agriculture.
Built for startups and product teams, EyePop.ai includes Python, Node, and React SDKs plus REST APIs. The company is HIPAA certified and supports private, air-gapped deployments for regulated environments.
Train custom vision models in hours with guided Self-Service Training and auto-labeling
Chain composable Abilities like detection, OCR, tracking, and pose estimation into one pipeline
Deploy to cloud, on-premise, or edge hardware including Jetson Orin and Snapdragon
Turn surveillance and broadcast footage into searchable, structured events without manual scrubbing
Visual Intelligence Reports convert up to 500 images into CSV or PDF summaries in about 30 minutes
Train custom vision models without an in-house ML team.
Deploy flexibly across cloud, on-premise, and edge hardware.
Pre-built Abilities ship without a custom training cycle.
HIPAA-certified with air-gapped on-premise options.
Python, Node, and React SDKs plus a REST API.
The dedicated pricing page currently returns a 404; plan details live in the FAQ.
On-premise and enterprise tiers need a sales conversation for full quotes.
Many industry workflows start with a discovery call rather than pure self-serve.
Is EyePop.ai free to try?
Yes. EyePop.ai offers a free trial so you can test the platform before committing to a paid plan. Sign up at dashboard.eyepop.ai to start building and deploying vision models.
What does EyePop.ai cost after the free trial?
EyePop.ai lists Cloud Production at $200 per month with 4,000 compute units included and overages at $0.05 per unit. Cloud Enterprise starts at $800 per month with dedicated servers and custom SLAs. On-premise runtime pricing is volume-tiered.
Do I need machine learning experience to use EyePop.ai?
No. EyePop.ai is designed for users without ML backgrounds, with a guided interface for uploading, labeling, and training models. Developers can also integrate via Python, Node, and React SDKs or the REST API.
Can EyePop.ai models run on-premise or at the edge?
Yes. EyePop.ai supports cloud deployment, on-premise runtimes, and edge hardware including NVIDIA Jetson Orin and Qualcomm Snapdragon. Video can be processed locally with only lightweight metadata sent off-device.
What file formats does EyePop.ai accept for training?
EyePop.ai accepts JPEG, PNG, and MP4 video files for training. For video uploads, the platform extracts frames automatically for labeling and model training.
Is customer data kept private on EyePop.ai?
Yes. EyePop.ai states it does not repurpose or share customer data beyond authorized use cases. The platform is HIPAA certified and supports on-premise and air-gapped deployments for sensitive workloads.
What industries does EyePop.ai serve?
EyePop.ai targets surveillance, marketplaces, broadcast media, CDNs, construction, insurance, drones, agriculture, roofing, and traffic monitoring. Each industry page describes specific visual intelligence workflows for that sector.